sentiment.ai-package

sentiment.ai: Simple Sentiment Analysis Using Deep Learning

This package uses Google's Universal Sentence Encoder, simplifies all the difficulties, and turns it into a sentiment analysis package.

Main Benefits:

• Tolerates spelling mitsakes
• Not dependent on exactly matching a fixed dictionary
• Requires less pre-processing
• More powerful than dictionary-based methods

Main Drawbacks:

• Requires a lot of RAM
• Can be slow on larger datasets (unless using GPU)

Effectively, if you have a reasonably powerful computer, you can use sentiment.ai as a more flexible, powerful, and modern approach to sentiment analysis. package

See Also

Useful links:

• https://benwiseman.github.io/sentiment.ai/
• https://github.com/BenWiseman/sentiment.ai

Author(s)

Maintainer : Ben Wiseman [email protected] [conceptor]

Authors:

• Steven Nydick [email protected] (ORCID)
• Tristan Wisner [email protected]

Other contributors:

• Fiona Lodge [email protected] [contributor]
• Yu-Ann Wang [email protected] [contributor]
• Veronica Ge [email protected] [artist]
• Korn Ferry Institute [email protected] [funder]